diff --git a/src/main/java/org/dromara/easyai/config/SentenceConfig.java b/src/main/java/org/dromara/easyai/config/SentenceConfig.java
new file mode 100644
index 0000000..7df7d8a
--- /dev/null
+++ b/src/main/java/org/dromara/easyai/config/SentenceConfig.java
@@ -0,0 +1,146 @@
+package org.dromara.easyai.config;
+
+
+/**
+ * @param
+ * @DATA
+ * @Author LiDaPeng
+ * @Description 参数配置
+ */
+public class SentenceConfig {
+    private int typeNub = 11;//分类数量
+    private int wordVectorDimension = 21;//语义分类网络词向量嵌入维度
+    private int qaWordVectorDimension = 66;//问答模型此项链嵌入维度
+    private int maxWordLength = 20;//最长字数
+    private float weStudyPoint = 0.01f;//词向量学习学习率
+    private float weLParam = 0.01f;//正则系数
+    private int rzModel = RZ.NOT_RZ;//正则模式
+    private boolean showLog = true;
+    private int minLength = 5;
+    private float trustPowerTh = 0.5f;//权重可信任阈值
+    private int maxAnswerLength = 20;//最大回答长度
+    private float sentenceTrustPowerTh = 0.2f;//语句生成可信赖阈值
+    private int times = 10;//增加训练数量
+    private float param = 0.01f;//线性层正则系数
+    private int keyWordNerveDeep = 3;
+
+    public int getRzModel() {
+        return rzModel;
+    }
+
+    public void setRzModel(int rzModel) {
+        this.rzModel = rzModel;
+    }
+
+    public int getQaWordVectorDimension() {
+        return qaWordVectorDimension;
+    }
+
+    public void setQaWordVectorDimension(int qaWordVectorDimension) {
+        this.qaWordVectorDimension = qaWordVectorDimension;
+    }
+
+    public int getKeyWordNerveDeep() {
+        return keyWordNerveDeep;
+    }
+
+    public void setKeyWordNerveDeep(int keyWordNerveDeep) {
+        this.keyWordNerveDeep = keyWordNerveDeep;
+    }
+
+    public float getParam() {
+        return param;
+    }
+
+    public void setParam(float param) {
+        this.param = param;
+    }
+
+    public int getTimes() {
+        return times;
+    }
+
+    public void setTimes(int times) {
+        this.times = times;
+    }
+
+    public float getSentenceTrustPowerTh() {
+        return sentenceTrustPowerTh;
+    }
+
+    public void setSentenceTrustPowerTh(float sentenceTrustPowerTh) {
+        this.sentenceTrustPowerTh = sentenceTrustPowerTh;
+    }
+
+    public int getMaxAnswerLength() {
+        return maxAnswerLength;
+    }
+
+    public void setMaxAnswerLength(int maxAnswerLength) {
+        this.maxAnswerLength = maxAnswerLength;
+    }
+
+    public float getTrustPowerTh() {
+        return trustPowerTh;
+    }
+
+    public void setTrustPowerTh(float trustPowerTh) {
+        this.trustPowerTh = trustPowerTh;
+    }
+
+    public int getMinLength() {
+        return minLength;
+    }
+
+    public void setMinLength(int minLength) {
+        this.minLength = minLength;
+    }
+
+    public int getMaxWordLength() {
+        return maxWordLength;
+    }
+
+    public void setMaxWordLength(int maxWordLength) {
+        this.maxWordLength = maxWordLength;
+    }
+
+    public boolean isShowLog() {
+        return showLog;
+    }
+
+    public void setShowLog(boolean showLog) {
+        this.showLog = showLog;
+    }
+
+    public int getTypeNub() {
+        return typeNub;
+    }
+
+    public void setTypeNub(int typeNub) {
+        this.typeNub = typeNub;
+    }
+
+    public int getWordVectorDimension() {
+        return wordVectorDimension;
+    }
+
+    public void setWordVectorDimension(int wordVectorDimension) {
+        this.wordVectorDimension = wordVectorDimension;
+    }
+
+    public float getWeStudyPoint() {
+        return weStudyPoint;
+    }
+
+    public void setWeStudyPoint(float weStudyPoint) {
+        this.weStudyPoint = weStudyPoint;
+    }
+
+    public float getWeLParam() {
+        return weLParam;
+    }
+
+    public void setWeLParam(float weLParam) {
+        this.weLParam = weLParam;
+    }
+}